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you can have two dependent variables because you need two test groups with an independent variable in each so you can make sure that they are different in each because you don't want the same result in a science experiment

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Q: Why is it important to have only one independent variable?

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because in certain experiments you need an accurate independent variable so your conulsion could be accurate

If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.

Actually, you have two - dependent and independent. But, you only have one variable because otherwise the answer wouldn't be accurate if you had more than one variable.

The Independent variable is the one you control. The dependent variable is controlled by the Independent Variable.

The independent variable. Any variable that is kept the same is a constant variable (although it is a contradiction in terms); any variable - usually only one - that depends on the independent variable is a dependent variable.

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If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.

because in certain experiments you need an accurate independent variable so your conulsion could be accurate

If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.

Independent variable : )

Actually, you have two - dependent and independent. But, you only have one variable because otherwise the answer wouldn't be accurate if you had more than one variable.

The independent variable is the one that is changing

The Independent variable is the one you control. The dependent variable is controlled by the Independent Variable.

The independent variable. Any variable that is kept the same is a constant variable (although it is a contradiction in terms); any variable - usually only one - that depends on the independent variable is a dependent variable.

The independent variable is the one that is changing

Time is often an independent variable.

An independent variable is the one that you change in the experiment. A dependent variable is the one that you measure, it changes depending on the independent variable.

The independent variable is the one that you change in an experiment. The dependent variable changes because of the independent variable. You control the independent and observe the dependent.